Data

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Model

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1. Balance data because only 10% of observations have fires¶

2. Preprocess data (floats standardized and categories encoded)¶

3. Estimate with XGBoost Classifier (a sequential tree classifier)¶

Model score?

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Recall score: 10%
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Precision score: 10%
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Recall score: 79%
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Precision score: 42%
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Web App

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Web App